Machine Learning Engineer II

Allvue Systems; Coral Gables (FL); On-site; USD 90,000 - 150,000; Full time

Job summary

Allvue Systems is seeking a Machine Learning Engineer II to help discover, design, and deliver AI- and automation-enabled solutions that improve operational workflows. You will partner with business stakeholders to understand pain points and build practical prototypes that integrate with existing systems.

You'll contribute to scalable, secure, and auditable workflow improvements and work with cross-functional teams to deliver measurable efficiency gains across fintech platforms.

Responsibilities

• The Machine Learning Engineer II supports the discovery, design, and delivery of AI- and automation-enabled solutions that improve operational workflows. The role partners with business stakeholders to understand pain points, build practical prototypes, integrate tools and systems, and support the adoption of solutions that deliver measurable efficiency and quality improvements. This position operates with moderate independence on defined initiatives and contributes to scalable, secure, and auditable workflow improvements.

Job description

About Allvue

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that’s revolutionizing the alternative investment industry. Define your own future with Allvue Systems!

About Allvue

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that’s revolutionizing the alternative investment industry. Define your own future with Allvue Systems!

Job Summary

The Machine Learning Engineer II supports the discovery, design, and delivery of AI- and automation-enabled solutions that improve operational workflows. The role partners with business stakeholders to understand pain points, build practical prototypes, integrate tools and systems, and support the adoption of solutions that deliver measurable efficiency and quality improvements. This position operates with moderate independence on defined initiatives and contributes to scalable, secure, and auditable workflow improvements.

Responsibilities